Rescaling bootstrap variance estimation technique under dual frame surveys with unknown domain sizes

References

• Ahmad, T. 1997. A resampling technique in complex survey data. Journal of the Indian Society of Agricultural Statistics 50 (3):364–79.
   Google Scholar
• Ahmad, T., R. Singh, and A. Rai. 2003. A bootstrap technique for variance estimation using imputed survey data for missing observations. Journal of Applied Statistics 7:40–8.
   Google Scholar
• Bankier, M. D. 1986. Estimators based on several stratified samples with applications to multiple frame surveys. Journal of the American Statistical Association 81 (396):1074–9. doi: 10.1080/01621459.1986.10478376.
   Web of Science ®Google Scholar
• Biswas, A., T. Ahmad, and A. Rai. 2013. Variance estimation using Jackknife method in ranked set sampling under finite population framework. Journal of the Indian Society of Agricultural Statistics 67 (3):345–53.
   Google Scholar
• Biswas, A., A. Rai, and T. Ahmad. 2020. Rescaling bootstrap technique for variance estimation for ranked set samples in finite population. Communications in Statistics-Simulation and Computation 49 (10):2704–18. doi: 10.1080/03610918.2018.1527349.
   Web of Science ®Google Scholar
• Cocchi, D., L. Marchi, and R. Ievoli. 2022. Bayesian bootstrap in multiple frames. Stats 5 (2):561–71. doi: 10.3390/stats5020034.
   Google Scholar
• Cochran, R. S. 1965. Theory and application of multiple frame surveys. Iowa State University of Science and Technology Ames, Iowa.
   Google Scholar
• Das, S. K., and R. Singh. 2013. A multiple-frame approach to crop yield estimation from satellite-remotely sensed data. International Journal of Remote Sensing 34 (11):3803–19. doi: 10.1080/01431161.2012.762697.
   Web of Science ®Google Scholar
• Dasgupta, P., T. Ahmad, A. Biswas, and A. Rai. 2018. A dual frame approach for estimating finite population total using ranked set sampling. International Journal of Agricultural and Statistical Sciences 14 (1):409–18.
   Google Scholar
• Dasgupta, P., T. Ahmad, A. Rai, and A. Biswas. 2019. Bootstrap variance estimation technique under dual frame ranked set sampling. Journal of the Indian Society of Agricultural Statistics 73 (3):197–206.
   Google Scholar
• Efron, B. 1979. Bootstrap methods: Another look at jackknife. The Annals of Statistics 7 (1):26. doi: 10.1214/aos/1176344552.
   Web of Science ®Google Scholar
• Efron, B. 1981. Nonparametric estimates of standard error: The jackknife, the bootstrap and other methods. Biometrika 68 (3):589–99. doi: 10.1093/biomet/68.3.589.
   Web of Science ®Google Scholar
• Efron, B. 1982. The jackknife, the bootstrap and other resampling plans. CBMS-NSF Regional Conference Series in Applied Mathematics, Monograph 38. Philadelphia: SIAM. doi: 10.1137/1.9781611970319.
   Google Scholar
• Fuller, W. A., and L. F. Burmeister. 1972. Estimators for samples selected from two overlapping frames. In Proceedings of the Social Statistics Section, American Statistical Association, 245–249.
   Google Scholar
• Gonzalez-Villalobos, A., and M. A. Wallace. 1996. Multiple frame agricultural surveys. Vols. 1 & 2, Rome: Food and Agriculture Organization of the United Nations.
   Google Scholar
• Hartley, H. O. 1962. Multiple frame surveys. In Proceedings of the social statistics sections. American Statistical Association 19 (6):203–6.
   Google Scholar
• Hartley, H. O. 1974. Multiple frame methodology and selected applications. Sankhya, Series C 36 (9):97–118.
   Google Scholar
• Kumar, R., A. Rai, T. Ahmad, A. Biswas, and P. K. Moury. 2021. Rescaling bootstrap technique for variance estimation in dual frame surveys. Journal of the Indian Society of Agricultural Statistics 75 (2):117–25.
   Google Scholar
• Lohr, S. 2011. Alternative survey sample designs: Sampling with multiple overlapping frames. Survey Methodology 37 (2):197–213.
   Web of Science ®Google Scholar
• Lohr, S. 2021. Multiple-frame surveys for a multiple-data-source world. Survey Methodology 47 (2):229–63.
   Web of Science ®Google Scholar
• Lohr, S., and J. N. K. Rao. 2000. Inference from dual frame surveys. Journal of the American Statistical Association 95 (449):271–80. doi: 10.1080/01621459.2000.10473920.
   Web of Science ®Google Scholar
• Lohr, S., and J. N. K. Rao. 2006. Estimation in multiple frame surveys. Journal of the American Statistical Association 101 (475):1019–30. doi: 10.1198/016214506000000195.
   Web of Science ®Google Scholar
• Lund, R. 1968. Estimators in multiple frame surveys. Proceedings of the social statistics sections, American Statistical Association, 282–8.
   Google Scholar
• Mecatti, F. 2007. A single frame multiplicity estimator for multiple frame surveys. Survey Methodology 33 (2):151–7.
   Web of Science ®Google Scholar
• Mecatti, F., and A. Singh. 2014. Estimation in multiple frame surveys: A simplified and unified review using the multiplicity approach. Journal de la Societe Francaise de Statistique 155 (4):51–69.
   Google Scholar
• Rao, J. N. K, and C. Wu. 2010. Pseudo–empirical likelihood inference for multiple frame surveys. Journal of the American Statistical Association 105 (492):1494–503. doi: 10.1198/jasa.2010.tm09534.
   Web of Science ®Google Scholar
• Rao, J. N. K, and C. F. J. Wu. 1988. Resampling inference with complex survey data. Journal of the American Statistical Association 83 (401):231–41. doi: 10.1080/01621459.1988.10478591.
   Web of Science ®Google Scholar
• Rueda, M., B. Cobo, and P. F. Perri. 2020. Randomized response estimation in multiple frame surveys. International Journal of Computer Mathematics 97 (1-2):189–206. doi: 10.1080/00207160.2018.1476856.
   Web of Science ®Google Scholar
• Rueda, M. d M., A. Arcos, D. Molina, and M. G. Ranalli. 2018. Estimation techniques for ordinal data in multiple frame surveys with complex sampling designs. International Statistical Review 86 (1):51–67. doi: 10.1111/insr.12218.
   Web of Science ®Google Scholar
• Rueda, M. d M., M. G. Ranalli, A. Arcos, and D. Molina. 2021. Population empirical likelihood estimation in dual frame surveys. Statistical Papers 62 (5):2473–90. doi: 10.1007/s00362-020-01200-5.
   Web of Science ®Google Scholar
• Särndal, C. E., B. Swensson, and J. Wretman. 1992. Model assisted survey sampling – Springer series in statistics. New York, NY: Springer-Verlag Publishing.
   Google Scholar
• Saxena, B. C., P. Narain, and A. K. Srivastava. 1986. Estimation of total for two characters in multiple frame surveys. Survey Methodology 11 (2):119–32.
   Google Scholar
• Singh, A., and S. Wu. 2003. An extension of generalized regression estimator to dual frame surveys. In Proceedings of the Joint Statistical Meeting-Section on Survey Research Methods, 3911–8.
   Google Scholar
• Singh, A. C., and F. Mecatti. 2011. Generalized multiplicity-adjusted Horvitz-Thompson estimation as a unified approach to multiple frame surveys. Journal of Official Statistics 27 (4):633.
   Web of Science ®Google Scholar
• Skinner, C. J. 1991. On the efficiency of raking ratio estimation for multiple frame surveys. Journal of the American Statistical Association 86 (415):779–84. doi: 10.1080/01621459.1991.10475109.
   Web of Science ®Google Scholar
• Skinner, C. J., D. J. Holmes, and D. Holt. 1994. Multiple frame sampling for multivariate stratification. International Statistical Review / Revue Internationale de Statistique 62 (3):333–47. doi: 10.2307/1403765.
   Web of Science ®Google Scholar
• Skinner, C. J., and J. N. K. Rao. 1996. Estimation in dual frame surveys with complex designs. Journal of the American Statistical Association 91 (433):349–56. doi: 10.1080/01621459.1996.10476695.
   Web of Science ®Google Scholar